Principal Software Engineer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

Job Description:

Role: Senior Backend Developer

Mode of work: WFO

Supercharge Your Career as a Senior Backend Developer at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our team of tech innovators and leave your mark!

What’s in it for You?

We are looking for a highly motivated Senior Backend Developer with 4-6 years of experience to join our team. The ideal candidate will have strong backend development expertise, a deep understanding of distributed systems, and a high sense of ownership. This role requires working independently on POCs and projects while also mentoring junior team members and enabling scalable delivery.

What Will You Be Doing?

• Design, develop, and maintain scalable backend systems and services.
• Work independently on project implementations and backend solution development.
• Implement distributed architecture design patterns to build reliable and high-performance systems.
• Collaborate with cross-functional teams to deliver robust backend solutions.
• Guide and mentor junior developers, ensuring quality implementation and adherence to best practices.
• Participate in system design discussions, code reviews, and technical decision-making.
• Ensure high ownership in delivering solutions aligned with project timelines and goals.

What Makes You the Perfect Fit?

• 4-6 years of backend development experience with strong expertise in Java or Go,
• Hands-on exposure to distributed systems, and solid knowledge of PL/SQL, with the ability to work independently and take high ownership of deliverables.
• Strong problem-solving and critical thinking abilities.
• Experience working with distributed systems and architecture design patterns.
• Strong database development skills with PL/SQL.
• Excellent team coordination and collaboration skills.
• High sense of ownership, accountability, and commitment towards project delivery.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field is required.

Good to Have Skills

• Exposure to Cloud platforms (AWS or GCP).
• Understanding of Frontend technologies or DevOps practices.
• Experience with workflow orchestration tools such as Temporal or similar platforms.

Work Requirements:

• Willingness to work in US or flexible shift timings based on project requirements
• Ability to work independently on POCs/projects and help scale additional pods of work
• Guide and direct junior team members to ensure proper implementation

Responsibilities:

Lead the design and development of sophisticated, high availability, and secured

server-side applications with a primary focus on Golang.

● Collaborate with cross-functional teams to understand requirements, architect

solutions, and deliver high-quality software products.

● Mentor and guide junior engineers, sharing your engineering expertise and best

practices to foster skill development within the team.

● Analyze and optimize performance, scalability, and reliability of existing Golang

applications, making strategic improvements where necessary.

● Design and implement automated unit and integration tests to ensure code quality,

maintainability, and stability.

● Stay up-to-date with the latest advancements in software technologies,

recommending their adoption when appropriate.

● Champion code reviews, architectural discussions, and technical documentation to

maintain high development standards.

● Troubleshoot and resolve complex issues, providing innovative solutions to overcome

challenges.

● Contribute to the recruitment and hiring process by participating in interviews,

evaluating candidates, and providing input on hiring decisions.

Requirements

Bachelor's or Master's degree in Computer Science, or a related field.

● 3+ years of experience in software development, with substantial experience in

Golang and cloud infrastructure.

● Expert-level proficiency in designing and developing high-performance, concurrent

applications with Golang.

● Experience with distributed systems, microservices architecture, and containerization

(e.g., Docker, Kubernetes).

● Solid knowledge of software testing methodologies and tools, including unit testing

and integration testing for Golang applications.

● Demonstrated ability to lead projects, collaborate effectively with teams, and mentor

junior engineers.

● Excellent problem-solving and analytical skills, with the ability to tackle complex

technical challenges.

● Having prior experience in the FinTech domain would be an added advantage.

Responsibilities

Understand systems enabling third party integration 

Translate business requirements to the APIs and SDKs exposed by these systems. Figure out the optimum interfaces to interact with these. 

Build generic connectors to interact with these technologies. 

Design, implement, deploy and maintain the connectors. 

Minimum Qualifications 

Bachelor’s degree in Computer Science or related fields. 

Experience needs to be around 8+ years 

Strong problem-solving skills. 

Ability to understand the technology and its APIs in quick time. 

Strong design pattern fundamentals. 

Good core java skills like Multi-threading, collection framework. 

Good communication and mentorship skills 

Ability to put together architecture diagrams and designs 

• 3+ years of SDE work experience from Product based companies
• Experience in Java, Spring Boot, MySQL, Kafka, Hbase, AWS
  • Experience in Multi threading, distributed systems, Best practices of coding, scaling

Position : Backend Developer – SDE3 : Java/Nodejs

As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!

Responsibilities

● Own architecture, design, development, and implementation of different modules/features of the services

● Design, develop, deploy and support web applications.

● Bring in industry best practices

● Discover opportunities for performance improvements

● Recommend ways to improve reliability, efficiency and code quality

● Focus on continuous delivery and reducing complexity

● Carry out code reviews and manage pull requests within the mobile application development team

● Build applications based on micro-services architecture

Requirements

● Overall 5+ years of experience in Backend development (Java or Nodejs).

● B.E/B.Tech in CS or equivalent streams from institute of repute (IITs, NITs, BITs, IIITs or equivalent)

● Strong object oriented design skills & knowledge of design patterns

● Experience in working with data platform & data lake pipeline building is preferred.

● Experience designing & developing distributed systems involving multiple web services, databases (both SQL and NoSQL), caches, queues, etc. taking into consideration scalability, availability, fault tolerance, consistency, etc. of the overall system

● Well-aware of and enforces development best practices: Unit Tests, Code Reviews, Integration Tests, CI/CD, Monitoring, Alerting, etc